from datetime import timedelta
from utils.operators.cluster_for_spark_sql_operator import SparkSqlOperator
from jms.dwd.tab.dwd_tab_barscan_centerarrival_base_dt import jms_dwd__dwd_tab_barscan_centerarrival_base_dt
from jms.time_sensor.time_after_03_00 import time_after_03_00

jms_dm__dm_transit_violation_waybill_volume = SparkSqlOperator(
    task_id='jms_dm__dm_transit_violation_waybill_volume',
    task_concurrency=1,
    pool_slots=4,
    master='yarn',
    # execution_timeout=timedelta(hours=1)
    # excel平均时长:2分33秒
    # execution_timeout = timedelta(minutes=15)
    # excel平均时长:2分33秒
    execution_timeout=timedelta(minutes=60),
    email=['jokic.wang@jtexpress.com', 'yl_bigdata@yl-scm.com'],
    name='jms_dm__dm_transit_violation_waybill_volume_{{ execution_date | date_add(1) | cst_ds }}',
    sql='jms/dm/dm_transit_violation_waybill_volume/execute.sql',
    driver_memory='20G',
    driver_cores=4,
    executor_cores=4,
    executor_memory='12G',
    num_executors=60,  # spark.dynamicAllocation.enabled 为 True 时，num_executors 表示最少 Executor 数
    conf={'spark.dynamicAllocation.enabled': 'true',  # 动态资源开启
          'spark.shuffle.service.enabled': 'true',  # 动态资源 Shuffle 服务开启
          'spark.dynamicAllocation.maxExecutors': 70,  # 动态资源最大扩容 Executor 数
          'spark.dynamicAllocation.cachedExecutorIdleTimeout': 180,  # 动态资源自动释放闲置 Executor 的超时时间(s)
          'spark.sql.sources.partitionOverwriteMode': 'dynamic',  # 允许删改已存在的分区
          'spark.sql.shuffle.partitions': 720,
          'spark.hadoop.hive.exec.dynamic.partition.mode': 'true',
          'spark.yarn.executor.memoryOverhead': 4096,
          'spark.driver.maxResultSize': '10G'
          },
    # hiveconf={'hive.exec.dynamic.partition': 'true',  # 动态分区
    #              'hive.exec.dynamic.partition.mode': 'nonstrict',
    #              'hive.exec.max.dynamic.partitions': 200,  # 每天生成 20 个分区
    #              'hive.exec.max.dynamic.partitions.pernode': 200,  # 每天生成 20 个分区
    #              },
    yarn_queue='pro',
)

jms_dm__dm_transit_violation_waybill_volume << [
    jms_dwd__dwd_tab_barscan_centerarrival_base_dt,
    time_after_03_00
]
